Deepa Das
New York
Summary
Results-oriented Product Data Scientist with 7 years of experience in designing large-scale experimentation systems and causal inference frameworks. Developed A/B testing infrastructure processing over 50 million user interactions, driving significant product investments. Specializes in translating complex product questions into actionable statistical hypotheses and collaborating with cross-functional teams to enhance data-driven product strategies.
Overview
6
6
years of professional experience
Work History
Senior Data Scientist, Insights & Analytics
84.51 (Kroger)
New York
07.2021 - Current
- Led multi-touch attribution and incrementality studies across media channels, quantifying experiment impact and influencing channel decisions. Delivered $13.4M incremental revenue and informed product personalization.
- Influenced $20M in product investment by synthesizing complex experimentation and incrementality analyses into executive-level product narratives that shaped channel strategy, feature prioritization, and budget allocation.
- Built and scaled a self-service A/B testing platform powering 10+ experiments per quarter for 50+ stakeholders, reducing analysis cycle time by 70% and enabling data-driven product and feature decisions without analyst bottlenecks.
- Managed cross-channel experimentation frameworks in secure clean rooms, using 1P and 3P data from video, audio, and digital ads to run over 10 experiments quarterly on datasets exceeding 50M customer interactions. Performed funnel analysis and uplift measurement to optimize product and marketing strategies at scale.
- Lifted email and push CTR by 22% across millions of weekly customer events by architecting a hierarchical content recommendation system using product and user embeddings — directly improving user engagement and notification relevance at scale.
- Reduced creative production time by 35% through deployment of LLMs and HDBSCAN clustering to extract and categorize content across millions of emails per campaign, accelerating product iteration cycles.
- Created product and email embeddings for targeted delivery of email and push notifications, processing tens of millions of user-event interactions to improve open rates and CTR.
- Established enterprise experimentation governance frameworks, statistical significance standards, and causal inference best practices for 100+ annual experiments, ensuring reproducibility and scalability in product measurement.
- Mentored data scientists across 3+ teams on ML modeling, product experimentation, and causal inference, building org-wide capability for high-velocity experimentation.
Data Scientist, Distribution Analytics
Farmers Insurance Group
05.2020 - 07.2021
- Identified $2M incremental premium opportunity by designing and analyzing controlled experiments for new distribution programs, quantifying lift in conversion and gross written premium.
- Improved lead conversion by 24% by building predictive lead scoring and matching models, enabling sales teams to prioritize high-value prospects.
- Partnered with engineering leadership to design scalable data pipelines and reporting infrastructure, cutting manual reporting effort by 50%.
- Reduced agent onboarding time by 40% through development of customer and agent segmentation frameworks that identified high-performing behaviors and informed targeted training programs.
Education
Master of Science - Information Systems
University of Cincinnati
Cincinnati, OH03-2020
Skills
Machine learning
Statistical Modeling
Predictive Analytics
- A/B testing
- Data visualization
- Business Metrics Analysis
- Technical: Python, SQL, PySpark, Azure, Databricks, Snowflake, Data Modeling, Production ML Pipelines, Feature Engineering, API Integration
Languages & Tools: Python (pandas, scikit-learn, stats models), SQL (advanced window functions, CTEs), PySpark, Spark SQL, Hive/Presto, Databricks, Snowflake, Azure
Business Metrics Analysis
Websites
Timeline
Senior Data Scientist, Insights & Analytics
84.51 (Kroger)
07.2021 - Current
Data Scientist, Distribution Analytics
Farmers Insurance Group
05.2020 - 07.2021
Master of Science - Information Systems
University of Cincinnati